Body Part Connection, Categorization and Occlusion Based Tracking with Correction by Temporal Positions for Volleyball Spike Height Analysis-Reference-Cited by-同舟云学术

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Body Part Connection, Categorization and Occlusion Based Tracking with Correction by Temporal Positions for Volleyball Spike Height Analysis

Published:2020-12-01 Issue:12 Volume:E103.A Page:1503-1511
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

CHENG Xina¹,LI Ziken²,DU Songlin³⁴,IKENAGA Takeshi²

Affiliation:

1. School of Artificial Intelligence, Xidian University

2. Graduate School of Information, Product and Systems, Waseda University

3. School of Automation, Southeast University

4. Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E103.A/12/E103.A_2020SMP0010/_pdf

Reference21 articles.

1. [1] M. Takahashi, K. Ikeya, M. Kano, H. Ookubo, and T. Mishina, “Robust volleyball tracking system using multi-view cameras,” International Conference on Pattern Recognition, IEEE, 2016. 10.1109/icpr.2016.7900050

2. [2] X. Cheng, Y. Zhao, and T. Ikenaga, “Representative spatial selection and temporal combination for 60fps 3D tracking of twelve volleyball players on GPU,” IEICE Trans. Fundamentals, vol.E102-A, no.12, pp.1882-1890, Dec. 2019. 10.1587/transfun.e102.a.1882

3. [3] X. Cheng, N. Ikoma, M. Honda, and T. Ikenaga, “Ball state based parallel ball tracking and event detection for volleyball game analysis,” IEICE Trans. Fundamentals, vol.E100-A, no.11, pp.2285-2294, Nov. 2017. 10.1587/transfun.e100.a.2285

4. [4] X. Cheng, Y. Liu, and T. Ikenaga, “3D global and multi-view local features combination based qualitative action recognition for volleyball game analysis,” IEICE Trans. Fundamentals, vol.E102-A, no.12, pp.1891-1899, Dec. 2019. 10.1587/transfun.e102.a.1891

5. [5] S. Keshri, M.-H. Oh, S. Zhang, and G. Iyengar, “Automatic event detection in basketball using HMM with energy based defensive assignment,” J. Quantitative Analysis in Sports, vol.15, no.2, pp.141-153, 2019. 10.1515/jqas-2017-0126

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2. Motion-aware and data-independent model based multi-view 3D pose refinement for volleyball spike analysis;Multimedia Tools and Applications;2023-08-10

3. PHYSICAL FITNESS IMPROVEMENTS IN FEMALE VOLLEYBALL PLAYERS;Revista Brasileira de Medicina do Esporte;2023

4. Image Segmentation of the Continuous Action of Spiking in Volleyball Based on Spatial Neighborhood Information;Traitement du Signal;2022-06-30

5. Analysis of Badminton Movement Cognition Algorithm Based on Track Linear Capture;Wireless Communications and Mobile Computing;2022-06-09

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